The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-04-22"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "2623415 (up from 2549294 yesterday: 2.91 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "183027 (up from 176583 yesterday: 3.65 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.98



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 839675 27639 3.40 46583 2139 4.81 5.55
Spain 208389 4211 2.06 21717 435 2.04 10.42
Italy 187327 3370 1.83 25085 437 1.77 13.39
France 157125 -2172 -1.36 21373 544 2.61 13.60
Germany 150648 2357 1.59 5279 246 4.89 3.50
United Kingdom 134638 4466 3.43 18151 773 4.45 13.48
Turkey 98674 3083 3.23 2376 117 5.18 2.41
Iran 85996 1194 1.41 5391 94 1.77 6.27
China 83868 15 0.02 4636 0 0.00 5.53
Russia 57999 5236 9.92 513 57 12.50 0.88
Brazil 45757 2678 6.22 2906 165 6.02 6.35
Belgium 41889 933 2.28 6262 264 4.40 14.95
Canada 41650 2248 5.71 2077 168 8.80 4.99
Netherlands 35032 715 2.08 4068 139 3.54 11.61
Switzerland 28268 205 0.73 1509 31 2.10 5.34
Portugal 21982 603 2.82 785 23 3.02 3.57
India 21370 1290 6.42 681 36 5.58 3.19
Peru 19250 1413 7.92 530 46 9.50 2.75
Ireland 16671 631 3.93 769 39 5.34 4.61
Sweden 16004 682 4.45 1937 172 9.75 12.10
Austria 14925 52 0.35 510 19 3.87 3.42
Israel 14498 556 3.99 189 5 2.72 1.30
Saudi Arabia 12772 1141 9.81 114 5 4.59 0.89
Japan 11512 377 3.39 281 18 6.84 2.44
Chile 11296 464 4.28 160 13 8.84 1.42
Ecuador 10850 452 4.35 537 17 3.27 4.95
Korea, South 10694 11 0.10 238 1 0.42 2.23
Poland 10169 313 3.18 426 25 6.23 4.19
Singapore 10141 1016 11.13 12 1 9.09 0.12
Pakistan 10076 511 5.34 212 11 5.47 2.10
Romania 9710 468 5.06 524 26 5.22 5.40
Mexico 9501 729 8.31 857 145 20.37 9.02
United Arab Emirates 8238 483 6.23 52 6 13.04 0.63
Denmark 8108 217 2.75 384 14 3.78 4.74
Indonesia 7418 283 3.97 635 19 3.08 8.56
Norway 7338 147 2.04 187 5 2.75 2.55
Belarus 7281 558 8.30 58 3 5.45 0.80
Qatar 7141 608 9.31 10 1 11.11 0.14
Czechia 7132 99 1.41 208 7 3.48 2.92
Philippines 6710 111 1.68 446 9 2.06 6.65
Serbia 6630 0 0.00 125 0 0.00 1.89
Ukraine 6592 467 7.62 174 13 8.07 2.64
Australia 6547 0 0.00 67 0 0.00 1.02
Malaysia 5532 50 0.91 93 1 1.09 1.68
Dominican Republic 5300 256 5.08 260 15 6.12 4.91
Panama 4821 163 3.50 141 5 3.68 2.92
Colombia 4356 207 4.99 206 10 5.10 4.73
Finland 4129 115 2.86 149 8 5.67 3.61
Bangladesh 3772 390 11.53 120 10 9.09 3.18
Egypt 3659 169 4.84 276 12 4.55 7.54
Luxembourg 3654 36 1.00 80 2 2.56 2.19
South Africa 3635 170 4.91 65 7 12.07 1.79
Morocco 3446 237 7.39 149 4 2.76 4.32
Argentina 3144 113 3.73 152 5 3.40 4.83
Algeria 2910 99 3.52 402 10 2.55 13.81
Thailand 2826 15 0.53 49 1 2.08 1.73
Moldova 2778 164 6.27 75 3 4.17 2.70
Greece 2408 7 0.29 121 0 0.00 5.02
Kuwait 2248 168 8.08 13 2 18.18 0.58
Hungary 2168 70 3.34 225 12 5.63 10.38
Kazakhstan 2135 140 7.02 19 0 0.00 0.89
Bahrain 2027 54 2.74 7 0 0.00 0.35
Croatia 1950 42 2.20 48 0 0.00 2.46
Iceland 1785 7 0.39 10 0 0.00 0.56
Uzbekistan 1716 38 2.26 7 1 16.67 0.41
Iraq 1631 29 1.81 83 0 0.00 5.09
Oman 1614 106 7.03 8 0 0.00 0.50
Estonia 1559 7 0.45 44 1 2.33 2.82
Azerbaijan 1518 38 2.57 20 0 0.00 1.32
Armenia 1473 72 5.14 24 0 0.00 1.63
New Zealand 1451 6 0.42 14 1 7.69 0.96
Lithuania 1370 20 1.48 38 0 0.00 2.77
Bosnia and Herzegovina 1368 26 1.94 53 2 3.92 3.87
Slovenia 1353 9 0.67 79 2 2.60 5.84
North Macedonia 1259 28 2.27 56 1 1.82 4.45
Slovakia 1244 45 3.75 14 0 0.00 1.13
Cuba 1189 52 4.57 40 2 5.26 3.36
Afghanistan 1176 84 7.69 40 4 11.11 3.40
Cameroon 1163 0 0.00 43 0 0.00 3.70
Ghana 1154 112 10.75 9 0 0.00 0.78
Bulgaria 1024 49 5.03 49 4 8.89 4.79

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 263292 4931 1.91 19413 309 1.62 7.37 13534.39 997.91 1 in 74
New Jersey 95914 3527 3.82 5150 397 8.35 5.37 10798.46 579.81 1 in 93
Massachusetts 42944 1745 4.24 2182 221 11.27 5.08 6179.43 313.98 1 in 162
California 37344 1879 5.30 1421 139 10.84 3.81 945.13 35.96 1 in 1058
Pennsylvania 36082 833 2.36 1673 59 3.66 4.64 2818.47 130.68 1 in 355
Illinois 35107 2048 6.19 1565 97 6.61 4.46 2770.48 123.50 1 in 361
Michigan 33966 1299 3.98 2813 238 9.24 8.28 3401.07 281.67 1 in 294
Florida 28309 440 1.58 893 26 3.00 3.15 1318.06 41.58 1 in 759
Louisiana 25258 404 1.63 1473 68 4.84 5.83 5433.24 316.86 1 in 184
Connecticut 22469 2109 10.36 1544 121 8.50 6.87 6302.16 433.06 1 in 159
Texas 21321 747 3.63 556 23 4.32 2.61 735.31 19.18 1 in 1360
Georgia 21214 1333 6.70 848 50 6.27 4.00 1998.04 79.87 1 in 500
Maryland 14775 582 4.10 698 46 7.06 4.72 2443.89 115.45 1 in 409
Ohio 14117 392 2.86 610 53 9.52 4.32 1207.71 52.19 1 in 828
Indiana 12438 341 2.82 666 31 4.88 5.35 1847.53 98.93 1 in 541
Washington 12051 -512 -4.08 647 -17 -2.56 5.37 1582.56 84.97 1 in 632
Colorado 10891 418 3.99 506 23 4.76 4.65 1891.21 87.87 1 in 529
Virginia 10266 636 6.60 349 25 7.72 3.40 1202.74 40.89 1 in 831
North Carolina 7495 361 5.06 265 20 8.16 3.54 714.62 25.27 1 in 1399
Tennessee 7394 0 0.00 157 0 0.00 2.12 1082.07 22.98 1 in 924
Missouri 6277 211 3.48 238 14 6.25 3.79 1022.74 38.78 1 in 978
Rhode Island 5841 341 6.20 181 10 5.85 3.10 5513.70 170.86 1 in 181
Alabama 5593 276 5.19 196 13 7.10 3.50 1140.69 39.97 1 in 877
Arizona 5473 217 4.13 231 23 11.06 4.22 718.72 30.34 1 in 1391
Mississippi 4894 178 3.77 193 10 5.46 3.94 1644.41 64.85 1 in 608
Wisconsin 4845 220 4.76 248 4 1.64 5.12 832.13 42.59 1 in 1202
South Carolina 4761 322 7.25 140 16 12.90 2.94 924.70 27.19 1 in 1081
Nevada 4081 144 3.66 172 9 5.52 4.21 1324.93 55.84 1 in 755
Iowa 3748 107 2.94 90 7 8.43 2.40 1187.93 28.53 1 in 842
Utah 3445 148 4.49 32 0 0.00 0.93 1074.56 9.98 1 in 931
Kentucky 3378 174 5.43 185 14 8.19 5.48 756.10 41.41 1 in 1323
District of Columbia 3206 108 3.49 127 15 13.39 3.96 4542.69 179.95 1 in 220
Delaware 3200 269 9.18 89 7 8.54 2.78 3286.22 91.40 1 in 304
Oklahoma 2894 87 3.10 170 6 3.66 5.87 731.37 42.96 1 in 1367
Minnesota 2722 155 6.04 179 19 11.88 6.58 482.66 31.74 1 in 2072
Kansas 2331 167 7.72 112 3 2.75 4.80 800.12 38.44 1 in 1250
Arkansas 2276 286 14.37 42 0 0.00 1.85 754.19 13.92 1 in 1326
New Mexico 2210 239 12.13 71 13 22.41 3.21 1053.97 33.86 1 in 949
Oregon 2059 55 2.74 78 0 0.00 3.79 488.18 18.49 1 in 2048
South Dakota 1858 103 5.87 9 1 12.50 0.48 2100.24 10.17 1 in 476
Nebraska 1813 128 7.60 38 5 15.15 2.10 937.24 19.64 1 in 1067
Idaho 1766 30 1.73 51 3 6.25 2.89 985.46 28.46 1 in 1015
New Hampshire 1588 98 6.58 48 6 14.29 3.02 1167.90 35.30 1 in 856
Puerto Rico 1252 -46 -3.54 63 -1 -1.56 5.03 392.02 19.73 1 in 2551
West Virginia 939 31 3.41 27 1 3.85 2.88 525.42 15.11 1 in 1903
Maine 907 19 2.14 39 3 8.33 4.30 674.74 29.01 1 in 1482
Vermont 823 5 0.61 40 0 0.00 4.86 1318.93 64.10 1 in 758
North Dakota 679 35 5.43 14 1 7.69 2.06 891.00 18.37 1 in 1122
Hawaii 592 6 1.02 12 2 20.00 2.03 418.12 8.48 1 in 2392
Wyoming 447 4 0.90 6 4 200.00 1.34 772.34 10.37 1 in 1295
Montana 439 2 0.46 14 2 16.67 3.19 410.75 13.10 1 in 2435
Alaska 335 6 1.82 9 0 0.00 2.69 457.93 12.30 1 in 2184

US Tested- Confirmed- Hospitalized Funnel (All States)

State Level Figures

State Tested Confirmed Hospitalized ConfirmationRate HospitalizationRate TestsPerMillPopl
New York 669982 263292 57103 39.30 21.69 34440.07
New Jersey 191659 95914 7210 50.04 7.52 21577.90
Massachusetts 180462 42944 3977 23.80 9.26 25967.61
California 465327 37344 4984 8.03 13.35 11776.79
Pennsylvania 171317 36082 2764 21.06 7.66 13382.06
Illinois 164346 35107 4665 21.36 13.29 12969.41
Michigan 118225 33966 3305 28.73 9.73 11838.06
Florida 288627 28309 4469 9.81 15.79 13438.43
Louisiana 142834 25258 1747 17.68 6.92 30724.96
Connecticut 69918 22469 1972 32.14 8.78 19610.76
Texas 216783 21321 1678 9.84 7.87 7476.34
Georgia 94072 21214 3959 22.55 18.66 8860.15
Maryland 76529 14775 3325 19.31 22.50 12658.46
Ohio 97998 14117 2882 14.41 20.42 8383.71
Indiana 69470 12438 NA 17.90 NA 10319.03
Washington 145031 12051 543 8.31 4.51 19045.70
Colorado 48704 10891 2003 22.36 18.39 8457.41
Virginia 58354 10266 1581 17.59 15.40 6836.61
North Carolina 90336 7495 434 8.30 5.79 8613.20
Tennessee 114980 7394 775 6.43 10.48 16826.73
Missouri 58156 6277 1001 10.79 15.95 9475.63
Rhode Island 41722 5841 576 14.00 9.86 39384.12
Alabama 48760 5593 730 11.47 13.05 9944.56
Arizona 56601 5473 664 9.67 12.13 7432.93
Mississippi 53835 4894 910 9.09 18.59 18088.81
Wisconsin 54347 4845 1302 8.91 26.87 9334.07
South Carolina 43111 4761 837 11.04 17.58 8373.16
Nevada 33888 4081 NA 12.04 NA 11002.04
Iowa 28244 3748 272 13.27 7.26 8951.94
Utah 76460 3445 288 4.51 8.36 23849.35
Kentucky 33328 3378 1076 10.14 31.85 7459.81
District of Columbia 15502 3206 402 20.68 12.54 21965.32
Delaware 16553 3200 269 19.33 8.41 16998.99
Oklahoma 45913 2894 588 6.30 20.32 11603.07
Minnesota 49344 2722 660 5.52 24.25 8749.51
Kansas 20203 2331 432 11.54 18.53 6934.71
Arkansas 29713 2276 291 7.66 12.79 9845.83
New Mexico 40877 2210 306 5.41 13.85 19494.68
Oregon 41185 2059 488 5.00 23.70 9764.72
South Dakota 13446 1858 111 13.82 5.97 15199.08
Nebraska 16679 1813 NA 10.87 NA 8622.28
Idaho 17730 1766 158 9.96 8.95 9893.61
New Hampshire 15041 1588 206 10.56 12.97 11061.91
Puerto Rico 9757 1252 NA 12.83 NA 3055.08
West Virginia 25836 939 103 3.63 10.97 14456.56
Maine 17691 907 144 5.13 15.88 13160.87
Vermont 13462 823 37 6.11 4.50 21574.10
North Dakota 15589 679 62 4.36 9.13 20456.34
Hawaii 25342 592 56 2.34 9.46 17898.51
Wyoming 7623 447 52 5.86 11.63 13171.29
Montana 11583 439 59 3.79 13.44 10837.61
Alaska 12159 335 39 2.76 11.64 16620.99

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 5649 431 8.26 789 13.97 4591 269 18 7.17 4.76
Gujarat 2407 229 10.51 179 7.44 2125 103 13 14.44 4.28
Delhi 2248 92 4.27 724 32.21 1476 48 1 2.13 2.14
Rajasthan 1888 153 8.82 344 18.22 1517 27 1 3.85 1.43
Tamil Nadu 1629 33 2.07 662 40.64 949 18 0 0.00 1.10
Madhya Pradesh 1587 35 2.26 152 9.58 1355 80 0 0.00 5.04
Uttar Pradesh 1449 112 8.38 173 11.94 1255 21 0 0.00 1.45
Telangana 943 15 1.62 194 20.57 725 24 1 4.35 2.55
Andhra Pradesh 813 56 7.40 120 14.76 669 24 2 9.09 2.95
Kerala 437 11 2.58 308 70.48 127 2 0 0.00 0.46
Karnataka 427 9 2.15 131 30.68 279 17 0 0.00 3.98
West Bengal 423 31 7.91 73 17.26 335 15 0 0.00 3.55
Jammu and Kashmir 407 27 7.11 92 22.60 310 5 0 0.00 1.23
Punjab 278 27 10.76 53 19.06 209 16 0 0.00 5.76
Haryana 264 9 3.53 158 59.85 103 3 0 0.00 1.14
Bihar 141 15 11.90 42 29.79 97 2 0 0.00 1.42
Odisha 83 4 5.06 32 38.55 50 1 0 0.00 1.20
Jharkhand 46 0 0.00 4 8.70 40 2 0 0.00 4.35
Uttarakhand 46 0 0.00 23 50.00 23 0 0 NaN 0.00
Himachal Pradesh 39 0 0.00 16 41.03 21 2 0 0.00 5.13
Chhattisgarh 36 0 0.00 28 77.78 8 0 0 NaN 0.00
Assam 35 0 0.00 19 54.29 15 1 0 0.00 2.86
Chandigarh 27 0 0.00 14 51.85 13 0 0 NaN 0.00
Andaman and Nicobar Islands 18 1 5.88 11 61.11 7 0 0 NaN 0.00
Ladakh 18 0 0.00 14 77.78 4 0 0 NaN 0.00
Meghalaya 12 0 0.00 0 0.00 11 1 0 0.00 8.33
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Puducherry 7 0 0.00 4 57.14 3 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Tripura 2 0 0.00 1 50.00 1 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli 0 0 NaN 0 NaN 0 0 0 NaN NaN
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 290699 69092 1161 1.71 23.77 9692 817 34242 12740 18.44
Emilia-Romagna 140874 23434 342 1.48 16.63 2964 282 13084 3204 13.67
Piemonte 111513 22739 784 3.57 20.39 3213 273 15122 2559 11.25
Veneto 277543 16738 334 2.04 6.03 1205 163 9991 1181 7.06
Toscana 114100 8700 97 1.13 7.62 820 174 6167 705 8.10
Liguria 35990 6918 154 2.28 19.22 860 92 3476 1022 14.77
Lazio 104062 5975 80 1.36 5.74 1384 187 4463 370 6.19
Marche 46492 5924 47 0.80 12.74 735 76 3230 845 14.26
Campania 55701 4185 50 1.21 7.51 523 53 2998 327 7.81
Puglia 48342 3730 108 2.98 7.72 564 60 2874 362 9.71
P.A. Trento 26674 3646 32 0.89 13.67 245 34 1874 381 10.45
Sicilia 58732 2883 48 1.69 4.91 500 35 2287 208 7.21
Friuli Venezia Giulia 50869 2817 25 0.90 5.54 134 20 1308 246 8.73
Abruzzo 30348 2733 66 2.47 9.01 309 35 2108 276 10.10
P.A. Bolzano 32722 2416 6 0.25 7.38 157 19 1512 256 10.60
Umbria 27655 1357 4 0.30 4.91 97 20 371 61 4.50
Sardegna 16886 1247 11 0.89 7.38 97 20 833 96 7.70
Valle d’Aosta 5024 1095 2 0.18 21.80 92 8 501 127 11.60
Calabria 26560 1060 13 1.24 3.99 128 7 821 76 7.17
Basilicata 8040 354 4 1.14 4.40 65 7 232 24 6.78
Molise 4425 284 2 0.71 6.42 21 2 205 19 6.69

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 20965 839 4.17 1134 90 8.62 5.41 2455.59 132.82 1 in 407
Ontario 13718 1003 7.89 762 68 9.80 5.55 932.45 51.80 1 in 1072
Alberta 3401 306 9.89 66 5 8.20 1.94 770.65 14.96 1 in 1298
British Columbia 1795 71 4.12 90 3 3.45 5.01 351.21 17.61 1 in 2847
Nova Scotia 772 35 4.75 12 2 20.00 1.55 789.80 12.28 1 in 1266
Saskatchewan 326 6 1.88 4 0 0.00 1.23 275.88 3.39 1 in 3625
Manitoba 257 2 0.78 6 0 0.00 2.33 186.57 4.36 1 in 5360
Newfoundland and Labrador 256 -1 -0.39 3 0 0.00 1.17 491.02 5.75 1 in 2037
New Brunswick 118 0 0.00 0 0 NaN 0.00 151.28 0.00 1 in 6610
Prince Edward Island 26 0 0.00 0 0 NaN 0.00 164.39 0.00 1 in 6083
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1582 8 0.51
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1033 4 0.39
Hunan 1019 4 0.39
Anhui 991 6 0.61
Jiangxi 937 1 0.11
Heilongjiang 921 13 1.41
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 639 7 1.10
Beijing 593 8 1.35
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 355 1 0.28
Hebei 328 6 1.83
Shaanxi 279 3 1.08
Guangxi 254 2 0.79
Shanxi 197 0 0.00
Inner Mongolia 194 1 0.52
Tianjin 189 3 1.59
Yunnan 184 2 1.09
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 106 1 0.94
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 2566.24 142.37 1 in 390
Spain 4466.12 465.43 1 in 224
Italy 3097.34 414.77 1 in 323
France 2345.50 319.05 1 in 426
Germany 1819.64 63.76 1 in 550
United Kingdom 2026.46 273.19 1 in 493
Turkey 1221.06 29.40 1 in 819
Iran 1059.59 66.42 1 in 944
China 60.51 3.34 1 in 16526
Russia 401.38 3.55 1 in 2491
Brazil 218.62 13.88 1 in 4574
Belgium 3674.47 549.30 1 in 272
Canada 1108.01 55.25 1 in 903
Netherlands 2039.12 236.79 1 in 490
Switzerland 3298.48 176.08 1 in 303
Portugal 2136.25 76.29 1 in 468
India 15.96 0.51 1 in 62658
Peru 598.38 16.47 1 in 1671
Ireland 3451.55 159.21 1 in 290
Sweden 1581.42 191.40 1 in 632

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 147297 15074 10.23
Nassau New York 31555 1431 4.53
Suffolk New York 28854 926 3.21
Westchester New York 25276 838 3.32
Cook Illinois 24546 1072 4.37
Los Angeles California 16447 732 4.45
Wayne Michigan 14561 1319 9.06
Bergen New Jersey 13686 876 6.40
Hudson New Jersey 12088 657 5.44
Essex New Jersey 11387 888 7.80
Union New Jersey 10484 481 4.59
Miami-Dade Florida 10153 240 2.36
Middlesex Massachusetts 10094 428 4.24
Philadelphia Pennsylvania 10028 394 3.93
Fairfield Connecticut 9883 584 5.91
Rockland New York 9699 401 4.13
Passaic New Jersey 9392 327 3.48
Suffolk Massachusetts 9060 285 3.15
Middlesex New Jersey 9047 369 4.08
Orange New York 7152 244 3.41
Oakland Michigan 6463 529 8.19
Orleans Louisiana 6209 367 5.91
Jefferson Louisiana 5860 297 5.07
New Haven Connecticut 5811 345 5.94
Essex Massachusetts 5783 245 4.24
King Washington 5379 373 6.93
Ocean New Jersey 5234 270 5.16
Harris Texas 5211 80 1.54
Monmouth New Jersey 5086 251 4.94
Macomb Michigan 4628 473 10.22
Morris New Jersey 4556 309 6.78
Marion Indiana 4263 214 5.02
Broward Florida 4228 141 3.33
Norfolk Massachusetts 4212 290 6.89
Hartford Connecticut 4128 442 10.71
Providence Rhode Island 4064 3 0.07
Prince George’s Maryland 3875 132 3.41
Worcester Massachusetts 3456 133 3.85
Montgomery Pennsylvania 3294 230 6.98
Plymouth Massachusetts 3253 141 4.33
Clark Nevada 3218 150 4.66
District of Columbia District of Columbia 3206 127 3.96
Riverside California 2960 93 3.14
Montgomery Maryland 2868 126 4.39
Maricopa Arizona 2846 97 3.41
Mercer New Jersey 2845 145 5.10
Delaware Pennsylvania 2757 123 4.46
Somerset New Jersey 2688 183 6.81
Dallas Texas 2683 65 2.42
Hampden Massachusetts 2678 244 9.11

Overall US Choropleth Map

Choropleths are an ideal way to visualize the COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc